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Machine Learning for Cloud Management

is the first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds;

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Machine Learning for Cloud Management

is the first book to set out a range of machine learning methods for efficient resource management in a large distributed network of clouds;

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Intelligent and Cloud Computing

and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;

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Intelligent and Cloud Computing

and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;

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Information Management and Machine Intelligence

; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT;

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Hands-On Machine Learning with IBM Watson

DescriptionIBM Cloud is a collection of cloud computing services for data analytics using machine learning and artificial intelligence (AI). This book;

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Implementing Machine Learning with SAP S/4HANA

set up services, train models, and manage applications. See how to implement machine learning for various lines of business, from finance to;

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Official Google Cloud Certified Professional Data Engineer Study Guide

Dan Sullivan, a popular and experienced online course author for machine learning, big data, and Cloud topics, Google Cloud Certified Professional Data;

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Proceedings of the Second International Conference on Information Management and

interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning;

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Hands-On Machine Learning on Google Cloud Platform

practical approach to produce your trained ML models and port them to your mobile for easy access Book DescriptionGoogle Cloud Machine Learning;

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Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning

management, machine learning, and artificial intelligence An exploration of artificial intelligence and machine learning for management models;

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Practical Java Machine Learning

the capabilities of the Google Cloud Platform machine learning API, including data visualization for Java; document classification using the;

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Practical Machine Learning with Rust

in the cloud and on bare metal servers Who This Book Is For Machine learning engineers and software;

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Introduction to Machine Learning in the Cloud with Python

This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with;

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Machine Learning in the AWS Cloud

Put the power of AWS Cloud machine learning services to work in your business and commercial applications! Machine Learning in the AWS;

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Automated Machine Learning

reduce human errors in machine learning models Find out how you can make machine learning accessible for all users to promote decentralized;

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Intelligent Automation with VMware

solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book;

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Advances on Smart and Soft Computing

, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel;

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Advances in Computing and Intelligent Systems

). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural;

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Advances in Computing and Intelligent Systems

). Discussing current research in the field of artificial intelligence and machine learning, cloud computing, recent trends in security, natural;

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Visualizing Google Cloud

discussions of storage types, databases and Machine Learning choices, Visualizing Google Cloud: Illustrated References for Cloud Engineers;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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Artificial Intelligence and Machine Learning for EDGE Computing

Artificial Intelligence and Machine Learning techniques for effective predictions at Edge rather than Cloud or remote Data Centers Provides;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data;

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Machine Learning Engineering with MLflow

use machine learning platforms for local development as well as for cloud and managed environments. This book will also show you how to use;

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Kubeflow for Machine Learning From Lab to Production

a collection of cloud native tools for different stages of a model's lifecycle, from data exploration, feature preparation, and model;

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Machine Learning for Networking

This book constitutes the thoroughly refereed proceedings of the Second International Conference on Machine Learning for Networking, MLN;

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